The use of simulators in robotics research is widespread, underpinning the majority of recent
advances in the field. There are now more options available to researchers than ever before …

The Simultaneous Localization and Map** (SLAM) technique has achieved astonishing
progress over the last few decades and has generated considerable interest in the …

Place recognition in 3D data is a challenging task that has been commonly approached by
adapting image-based solutions. Methods based on local features suffer from ambiguity and …

Enabling fully autonomous robots capable of navigating and exploring large-scale, unknown
and complex environments has been at the core of robotics research for several decades. A …

We present a technique for dense 3D reconstruction of objects using an imaging sonar, also
known as forward-looking sonar (FLS). Compared to previous methods that model the scene …

Abstract Autonomous Underwater Vehicles (AUVs) are used by the scientific community for
various applications, from collecting well‐distributed high‐quality data to map** the …

Exploration is a fundamental problem in robot autonomy. A major limitation, however, is that
during exploration robots oftentimes have to rely on on-board systems alone for state …

This book provides a thorough overview of the state-of-the-art field-programmable gate array
(FPGA)-based robotic computing accelerator designs and summarizes their adopted …

In this paper, we present an active SLAM framework for volumetric exploration of 3D
underwater environments with multibeam sonar. Recent work in integrated SLAM and …